ML approaches are able to solve complex tasks in various domains by learning from data,
for example, instance segmentation [1]}, translation [2]}, or text-to-image generation [3]}.
Nonetheless, users struggle to apply ML approaches to their data
because adapting code and setting up software and hardware environments need expert knowledge [4]}.
Therefore, it is important to deploy ML models in a way such that non-expert users
can apply these models to their data easily.
